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Designing curricula and activities to teach young learners about artificial intelligence (AI) is an interest of various education research disciplines. We conducted a systematic review of 23 AI education programs, examining their perspectives of AI literacy. We drew on a theoretical framework that defines AI literacy through three perspectives: operational (how AI works, how to use it), sociocultural (situated context of AI), and critical (attuning to issues of power and agency). Our analysis shows that these AI education programs dominantly focus on operational perspectives in their learning activities, compared to other perspectives. We discuss these findings and argue that AI education needs to expand notions of AI literacy towards a multidimensional perspective for teaching youth about AI.